simBinTree/oneRunMC.py

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2017-10-15 17:36:19 +00:00
# -*- coding: utf-8 -*-
"""
Simulation of a random walk on a finite b-ary tree of depth k
"""
import random as rn
import numpy as np
import matplotlib.pyplot as plt
#import math as mt
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rn.seed(0)
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k = 10 # depth of the tree
b = 2 # arity of the tree
T = 100 # number of steps taken by the MC
X = np.zeros(T)
Y = np.zeros(T)
Z = np.zeros(T)
for a in range(0, T):
Z[a] = T
X[0] = rn.randint(0,k) # setting the starting level for X
Y[0] = rn.randint(0,k) # setting the starting level for Y
for a in range(0, (T - 1)):
monX = rn.randint(0,1)
probArisX = rn.randint(0,(b + 1))
monY = rn.randint(0,1)
probArisY = rn.randint(0,(b + 1))
if X[a] != Y[a]: # if X is different to Y
if X[a] > 0 and X[a] < k: # if the MC is in the middle depths of the tree
if monX == 1:
X[a + 1] = X[a]
if monX == 0:
if probArisX == 0:
X[a + 1] = (X[a] - 1)
if probArisX != 0:
X[a + 1] = (X[a] + 1)
if X[a] == 0: # if the MC is in the root node
if monX == 1:
X[a + 1] = X[a]
if monX == 0:
X[a + 1] = (X[a] + 1)
if X[a] == k: # if the MC is in the leaf of the tree
if monX == 1:
X[a + 1] = X[a]
if monX == 0:
X[a + 1] = (X[a] - 1)
if Y[a] > 0 and Y[a] < k:
if monY == 1:
Y[a + 1] = Y[a]
if monY == 0:
if probArisY == 0:
Y[a + 1] = (Y[a] - 1)
if probArisY != 0:
Y[a + 1] = (Y[a] + 1)
if Y[a] == 0:
if monY == 1:
Y[a + 1] = Y[a]
if monY == 0:
Y[a + 1] = (Y[a] + 1)
if Y[a] == k:
if monY == 1:
Y[a + 1] = Y[a]
if monY == 0:
Y[a + 1] = (Y[a] - 1)
if X[a] == Y[a]: # if X is equal to Y
Z[a] = a
if X[a] > 0 and X[a] < k:
if monX == 1:
X[a + 1] = X[a]
Y[a + 1] = X[a] #X[a + 1]
if monX == 0:
if probArisX == 0:
X[a + 1] = (X[a] - 1)
Y[a + 1] = (X[a] - 1) #X[a + 1]
if probArisX != 0:
X[a + 1] = (X[a] + 1)
Y[a + 1] = (X[a] + 1) #X[a + 1]
if X[a] == 0:
if monX == 1:
X[a + 1] = X[a]
Y[a + 1] = X[a] #X[a + 1]
if monX == 0:
X[a + 1] = (X[a] + 1)
Y[a + 1] = (X[a] + 1) #X[a + 1]
if X[a] == k:
if monX == 1:
X[a + 1] = X[a]
Y[a + 1] = X[a] #X[a + 1]
if monX != 1:
X[a + 1] = (X[a] - 1)
Y[a + 1] = (X[a] - 1) #X[a + 1]
#plt.plot(X,'ro',ms=0.8)
#plt.plot(Y,'bo',ms=0.8)
plt.plot(X,'r')
plt.plot(Y,'b')
plt.show()
t = np.amin(Z)
print("t_cou = " + str(t))
#n = (mt.pow(b,k + 1) - 1)/(b - 1) # number of vertex in the tree T_{b,k} b - arity, k - depth
#if t != 0:
# if t <= ((4 * n)/T):
# print("The test is passed")
#else:
# print("The MC started coupled")